Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Fault Tolerance in MapReduce: A Survey
Year:2016
Research Areas
  • Information technology and adata processing,
  • Computer system
Information
Abstract
? An exhaustive study on the MapReduce framework, and its default fault-tolerant mechanisms. As one may assume, the leading MapReduce-based systems which are open source, with particular emphasis on Hadoop MapReduce, have evolved significantly since their first appearance. This study has taken into account all of these releases, by considering the most important advances in the fault-tolerant area. ? A systematic literature review on contributions with extensive analysis and proposals of new fault-tolerant mechanisms in MapReduce-based systems. ? A discussion about the open issues and key challenges for providing efficient fault tolerance in MapReduce-based systems.
International
Si
10.1007/978-3-319-44881-7
Book Edition
Book Publishing
Springer International Publishing
ISBN
978-3-319-44880-0
Series
Book title
Resource Management for Big-Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques (Computer Communications and Networks)
From page
205
To page
240
Participants
  • Autor: Maria de los Santos Perez Hernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)